Teaching

SPC707P Machine and Deep Learning at QMUL

The module covers fundamental concepts of machine learning with emphasis on the development of practical skills required for the selection and application of machine learning theory and methods to defined problems. Topics include data representation and preparation, unsupervised learning methods, regression and classification methods, artificial neural networks and performance evaluation. Face-to-face teaching will be combined with extensive hands-on sessions in the computational lab.

Data Science and Machine Learning at Oxford

Feel free to reach out for the lecture notes, hands-on experiments, problem sheets and mini-tasks.